pmlpp/mlpp/stat/stat.h

55 lines
2.0 KiB
C
Raw Normal View History

2023-01-24 18:57:18 +01:00
#ifndef MLPP_STAT_H
#define MLPP_STAT_H
//
// Stat.hpp
//
// Created by Marc Melikyan on 9/29/20.
//
2023-01-27 13:01:16 +01:00
#include "core/math/math_defs.h"
#include <vector>
2023-01-24 19:20:18 +01:00
class MLPPStat {
2023-01-24 19:00:54 +01:00
public:
// These functions are for univariate lin reg module- not for users.
2023-01-27 13:01:16 +01:00
real_t b0Estimation(const std::vector<real_t> &x, const std::vector<real_t> &y);
real_t b1Estimation(const std::vector<real_t> &x, const std::vector<real_t> &y);
2023-01-24 19:00:54 +01:00
// Statistical Functions
2023-01-27 13:01:16 +01:00
real_t mean(const std::vector<real_t> &x);
real_t median(std::vector<real_t> x);
std::vector<real_t> mode(const std::vector<real_t> &x);
real_t range(const std::vector<real_t> &x);
real_t midrange(const std::vector<real_t> &x);
real_t absAvgDeviation(const std::vector<real_t> &x);
real_t standardDeviation(const std::vector<real_t> &x);
real_t variance(const std::vector<real_t> &x);
real_t covariance(const std::vector<real_t> &x, const std::vector<real_t> &y);
real_t correlation(const std::vector<real_t> &x, const std::vector<real_t> &y);
real_t R2(const std::vector<real_t> &x, const std::vector<real_t> &y);
real_t chebyshevIneq(const real_t k);
2023-01-24 19:00:54 +01:00
// Extras
2023-01-27 13:01:16 +01:00
real_t weightedMean(const std::vector<real_t> &x, const std::vector<real_t> &weights);
real_t geometricMean(const std::vector<real_t> &x);
real_t harmonicMean(const std::vector<real_t> &x);
real_t RMS(const std::vector<real_t> &x);
real_t powerMean(const std::vector<real_t> &x, const real_t p);
real_t lehmerMean(const std::vector<real_t> &x, const real_t p);
real_t weightedLehmerMean(const std::vector<real_t> &x, const std::vector<real_t> &weights, const real_t p);
real_t contraHarmonicMean(const std::vector<real_t> &x);
real_t heronianMean(const real_t A, const real_t B);
real_t heinzMean(const real_t A, const real_t B, const real_t x);
real_t neumanSandorMean(const real_t a, const real_t b);
real_t stolarskyMean(const real_t x, const real_t y, const real_t p);
real_t identricMean(const real_t x, const real_t y);
real_t logMean(const real_t x, const real_t y);
2023-01-24 19:00:54 +01:00
};
2023-01-24 19:20:18 +01:00
#endif /* Stat_hpp */